Danilo holds a bachelor’s degree in Control and Automation Engineering from Universidade de Fortaleza (Brazil) and received his master's degree in Aeronautical Engineering from the traditional Instituto Tecnológico de Aeronáutica (ITA - Brazil) in 2016 after completing a joint program between ITA and the aerospace manufacturer Embraer. At the aerospace industry, he worked at Embraer for 5 years, mainly as Systems Safety Engineer responsible for the functional safety assessment (according to SAE ARP4754A) for the development of the Embraer E2 family of aircraft (up to 146 passengers). After that, he joined the automotive industry at Continental AG in 2018 as System Safety Manager for highly automated driving, having acted as safety manager for several platforms up to SAE Level 4 AD. Within Safety, Danilo was appointed Expert Safety-in-Use for automated systems at Continental and is a reference within the organization for this topic.
A | AI & ML Stream | Case Study
Monday, March 17
03:30 pm - 04:00 pm
Live in Berlin
Less Details
From past to future, mobility has been the heartbeat of life. Achieving seamless mobility will enable everyone to enjoy life more fully. However, as we strive to make this dream a reality, the complexity of systems increases, with AI playing a crucial role in bringing this vision closer. Beyond novel and complex functionalities, systems must ensure safe and secure operations. This new disruptive scenario, together with its enabler, AI engineering, introduces new challenges for safety engineering, making conventional approaches insufficient to guarantee safety. It is no longer enough to design a system, add safety features, and deploy it. Continuous monitoring, adjustments, development of the operational domain description, and further development are necessary. This underscores the importance of revisiting development and operational concepts to adapt to these evolving demands. In this session, you will:
C | Commercializing Autonomous Tech Stream
Tuesday, March 18
08:30 am - 10:30 am
Live in Berlin
Less Details
This stream focuses on the commercialization of autonomous vehicles and systems. Discover how Volvo’s integration of digital twins accelerates autonomous trucking development and reduces costs. Explore sensor fusion strategies for reliable performance in adverse weather conditions, and learn about the commercialization potential of transformer-based end-to-end stacks in real-world deployments. Additionally, understand the critical role of centralized computing architectures in scaling autonomous vehicle production and optimizing AI integration for market readiness.